Sawyer's Travels
Embedded Systems in Robotics
About the Project
This porject was my team's final project for ME495: Embedded Systems in Robotics at Northwestern University in 2017 Fall quarter. It was an open-ended final project for the course, and we succesfully 'taught' robot Sawyer how to solve a Ball-in-a-maze puzzle.
We used technics including Computer vision, RRT path planning and real-time feedback control (implemented in ROS) to build the whole system.
Take a look at the README to see how it works, and check out our GitHub Repo for more information about the ROS package.
Hardware Involved
- Sawyer (rethink robotics)
- Self-made Wooden Maze
- 720p Webcam
- Ubuntu Computer with ROS
Skills Involved
- ROS (Linux)
- Python
- Computer Vision (OpenCV)
- Path Planning (RRT)
- Motion Planning
- Feedback Control
- Collaborative GitHub Usage
Learn More
A demo video for this project is included in Smart Collaborative Robot Gallery by Rethink Robotics.
Check out the course description for ME495: Embedded Systems in Robotics. Also check out the other groups' final projects at https://vimeo.com/numsr as well.